ImageNet pre-trained models with batch normalization

5 December 2016

Papers citing "ImageNet pre-trained models with batch normalization"

9 / 9 papers shown

Title
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 27 0 0 07 Apr 2023
Revisiting Pre-training in Audio-Visual Learning Ruoxuan Feng Wenke Xia Di Hu 19 1 0 07 Feb 2023
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks C. F. G. Santos Mateus Roder L. A. Passos João Paulo Papa 21 1 0 05 Mar 2022
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition Qi-rong Mao Ling Zhou Wenming Zheng Xiuyan Shao Xiaohua Huang CVBM 13 2 0 13 Jul 2021
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 24 14 0 14 Nov 2018
Robust Place Categorization with Deep Domain Generalization Massimiliano Mancini Samuel Rota Buló Barbara Caputo Elisa Ricci OOD 11 55 0 30 May 2018
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej Mazurowski 19 2,317 0 15 Oct 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point Naveen Mellempudi Abhisek Kundu Dipankar Das Dheevatsa Mudigere Bharat Kaul MQ 24 30 0 31 Jan 2017
Designing Deep Networks for Surface Normal Estimation X. Wang David Fouhey Abhinav Gupta 3DV SSL 154 353 0 18 Nov 2014